/**
 * Copyright 2020 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#include <vector>
#include <memory>
#include "common/common_test.h"
#include "ops/one_hot.h"
#include "ir/dtype/type.h"
#include "ir/value.h"
#include "abstract/dshape.h"
#include "utils/tensor_construct_utils.h"

namespace mindspore {
namespace ops {

class TestOneHot : public UT::Common {
 public:
  TestOneHot() {}
  void SetUp() {}
  void TearDown() {}
};

TEST_F(TestOneHot, test_ops_one_hot1) {
  auto one_hot = std::make_shared<OneHot>();
  one_hot->Init(-1);
  EXPECT_EQ(one_hot->get_axis(), -1);
  auto indice = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{3});
  auto depth = MakeValue<int64_t>(3);
  auto on_value = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1});
  auto off_value = TensorConstructUtils::CreateZerosTensor(kNumberTypeFloat32, std::vector<int64_t>{1});
  MS_EXCEPTION_IF_NULL(indice);
  MS_EXCEPTION_IF_NULL(depth);
  MS_EXCEPTION_IF_NULL(on_value);
  MS_EXCEPTION_IF_NULL(off_value);
  auto abstract =
    one_hot->Infer({indice->ToAbstract(), depth->ToAbstract(), on_value->ToAbstract(), off_value->ToAbstract()});
  MS_EXCEPTION_IF_NULL(abstract);
  EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
  auto shape_ptr = abstract->BuildShape();
  MS_EXCEPTION_IF_NULL(shape_ptr);
  EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
  auto shape = shape_ptr->cast<abstract::ShapePtr>();
  MS_EXCEPTION_IF_NULL(shape);
  auto shape_vec = shape->shape();
  auto type = abstract->BuildType();
  MS_EXCEPTION_IF_NULL(type);
  EXPECT_EQ(type->isa<TensorType>(), true);
  auto tensor_type = type->cast<TensorTypePtr>();
  MS_EXCEPTION_IF_NULL(tensor_type);
  auto data_type = tensor_type->element();
  MS_EXCEPTION_IF_NULL(data_type);
  EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
  EXPECT_EQ(shape_vec.size(), 2);
  EXPECT_EQ(shape_vec[0], 3);
}

}  // namespace ops
}  // namespace mindspore